Senior Machine Learning Platform Engineer at Strava

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Candidates should possess demonstrated technical leadership in leading projects and the ability to mentor early-career team members. They must have strong interpersonal and communication skills, a collaborative approach to drive business impact across teams, and experience working on complex, ambiguous platform challenges. Familiarity with machine learning, AI, and related fields is essential.

Responsibilities

The Senior Machine Learning Platform Engineer will lead key projects to enhance Strava's ML tools and systems, ensuring scalability with growing use cases and model architectures. They will work at the intersection of AI and fitness to enable product experiences for millions of users, deploy ML solutions across multiple surfaces, and expand technical ML capabilities. This role involves collaborating with engineers and data scientists, owning work end-to-end, driving innovation with a product mindset, and mentoring engineers to raise ML standards for model development, deployment, and maintenance.

Skills

Machine Learning

Platform Engineering

Scalability

Model Deployment

Monitoring

Software Development

Strava

Fitness tracking and social networking platform

About Strava

Strava is a digital platform that allows athletes and fitness enthusiasts to record, track, and analyze their physical activities, offering metrics like speed, pace, and distance. It operates on a freemium model, providing basic services for free while charging for premium features such as advanced training plans and detailed activity breakdowns. Strava distinguishes itself from competitors through its social networking aspect, enabling users to share activities and connect with others, fostering a supportive community. The goal of Strava is to enhance the fitness experience by providing valuable performance insights and encouraging community engagement.

San Francisco, CaliforniaHeadquarters

2009Year Founded

$147.3MTotal Funding

SERIES_FCompany Stage

Consumer Software, Social ImpactIndustries

501-1,000Employees

Benefits

100% company paid benefits for employees and families

Flexible paid time off

$2,000 annual professional development stipend

Paid time off for volunteering

401(k) Plan with company matching

$1000 annual gear stipend

$500 annual gym reimbursement

Onsite fitness rooms with showers, lockers, and towel service

Weekly team workouts

Free yoga classes

Secure bike storage

Twice weekly dinner for those working late

Monthly happy hours

Dog days

Cell phone reimbursement

Snacks & stocked kitchens

Risks

Increased competition from evolving fitness apps may attract users away from Strava.

Over-reliance on partnerships like Apple Fitness may not ensure long-term growth.

Integration with third-party apps could lead to data privacy concerns affecting user trust.

Differentiation

Strava combines fitness tracking with social networking, fostering a unique community experience.

The platform offers a freemium model, attracting a wide range of users globally.

Strava's compatibility with most GPS devices enhances its accessibility and user base.

Upsides

Partnership with Apple Fitness+ expands Strava's reach and user engagement.

Integration with Mibro Fit enhances user experience and social connectivity.

Growing trend of virtual fitness challenges aligns with Strava's community-driven events.

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